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Data Engineer

A global biopharmaceutical company focused on human health, developing vaccines and innovative treatments.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Healthcare · AI
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Job Description

Sanofi, a leading global biopharmaceutical company, is seeking a Data Engineer to join their Data Products and Platforms Team within R&D Digital. This role is part of an ambitious digital transformation program focused on accelerating data transformation and AI/ML adoption. As a Data Engineer, you'll work in an agile environment within a Data Product Delivery Pod, designing and developing data pipelines to handle complex structured and unstructured data. The position offers exposure to cutting-edge technology, working with renowned ML leaders, and the opportunity to impact healthcare through data-driven solutions. You'll be part of Sanofi's journey to become an AI-first organization, working on projects that directly contribute to accelerating R&D, manufacturing, and commercial performance. The role combines technical expertise in data engineering with the opportunity to work on meaningful healthcare solutions that improve patients' lives. The company offers a collaborative environment focused on innovation and continuous learning, with the chance to work on multiple data products serving various business areas.

Last updated 19 days ago

Responsibilities For Data Engineer

  • Design, build, and maintain scalable ETL/ELT pipelines
  • Structure and provision data to support modeling and data discovery
  • Design, develop, and deploy APIs and data feeds
  • Optimize data workflows for high performance and reliability
  • Collaborate with Data/AI Product Owner and Scrum Master
  • Provide input on engineering feasibility for R&D Data/AI Products
  • Support with planning, capacity, and resource estimates
  • Oversee and support junior engineers with testing requirements

Requirements For Data Engineer

Python
  • Bachelor's degree in software engineering or related field
  • 3+ years of experience in data product engineering or related field
  • Understanding of R&D business and data environment
  • Excellent communication and collaboration skills
  • Working knowledge of Agile methodologies
  • Proficiency with SQL, Python, AWS, Snowflake, DBT, Airflow, Informatica
  • Deep understanding of developing data pipelines and workflows